Python for Data Analysis Courses
Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.
Popular Python for Data Analysis Courses and Certifications
DeepLearning.AI
Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Plot (Graphics), Statistical Visualization, Statistical Inference, Statistical Analysis, Seaborn, Analytics, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis
Macquarie University
Skills you'll gain: Data Visualization, Data Analysis, Data Wrangling, Data Manipulation, Exploratory Data Analysis, Jupyter, Data Import/Export, Data Transformation, Statistical Methods, Data Preprocessing, Python Programming, Data Processing, Data Dictionary, Data Mapping, Data Structures, Feature Engineering, Data Management, Data Storage, Scripting Languages, Model Training
Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Import/Export, Data Storage, Computational Logic
What brings you to Coursera today?
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Data Processing, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting
Skills you'll gain: Git (Version Control System), Data Visualization, Data Presentation, Generative AI, Version Control, Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Jupyter, Python Programming, Microsoft Visual Studio, Statistical Visualization, Data Storytelling, GitHub, NumPy, Machine Learning Methods
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
Skills you'll gain: Generative AI, Matplotlib, Data Visualization, Data Literacy, Plotly, Data Ethics, Plot (Graphics), Generative Model Architectures, Scientific Visualization, Data Cleansing, Data Presentation, Interactive Data Visualization, Pandas (Python Package), Data Quality, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Manipulation, Model Evaluation, Data Analysis, Machine Learning
Skills you'll gain: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
Skills you'll gain: Data Visualization, Statistical Visualization, Data Wrangling, Data Science, Data Structures
What brings you to Coursera today?
In summary, here are 10 of our most popular python for data analysis courses
- Python for Data Analytics: DeepLearning.AI
- Python for Data Analytics: Macquarie University
- Python for Data Science, AI & Development: IBM
- Data Analysis with Python: IBM
- Google Data Analysis with Python: Google
- Introduction to Data Analysis Using Python: Google
- Microsoft Data Analysis with Python & R: Microsoft
- Applied Data Science with Python: University of Michigan
- Data Analysis and Visualization with Python: Microsoft
- Python for Real-World Data Analysis: Coursera
